• Journal of Families and Better Life
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• v.29 no.3
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• pp.13-22
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• 2011

The purpose of the study is to analyze the residential mobility effects and planning discrepancies of home-owning households and renting households. The data for the empirical analysis were collected from 248 units residing in Ulsan and were studied using descriptive statistics, chi-squared tests by cross-tabulation and multiple regressions. The majority of the households did not experience a change in types of housing structure or ownership after the residential mobility. However, the housing size increased after residential mobility, showing that most moves were due to the deficit of housing sizes. In terms of future mobility plans, there were significant differences between home-owning households and renting households. More than two-thirds of the renting households were willing to move within 2-4 years to obtain home ownership. On the other hand, most home-owning households were willing to move for housing size, education of the head, and investment purposes. Compared to the forty-four percent of the home-owning households, seventy-two percent of the renting households were willing to relocate, which shows the effects of unstable housing circumstances.

• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.205-220
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• 2003

The purpose of this study was to investigate factors affecting consumer's housing tenure status by various household's characteristics. This study used 1997 KHPS(Korea Household Panel Study) by Daewoo Economic Research Institute and used 1,977 households for the analysis. The results of this research were summarized as follows; 1. There were major differences in household's characteristics by consumer's housing tenure status, except for the household's monthly income and savings. 2. Factors affecting consumer's choice of ‘owning’ a housing and taking a ‘chonsei’ system were very similar, but they affected in the opposite direction. 3. Factors affecting consumer's choice of taking a ‘chonsei’ system and ‘renting’ a house were much more similar, and they affected in the same direction. This study can be useful in developing housing service and design, and housing policy by consumer's choice of housing tenure status.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.559-568
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• 2008

This paper analyzes Korean residential tenure choice for house which is the most important in Korean households' assets. Data used in the analysis is the data of Korean Labor and Income Panel Study for the period from 1998 to 2006 and with 2341 households. In this paper, a household chooses a housing tenure mode, either by renting or by owing house. We use a mixed-logit panel model as an estimation model to take into consideration household's heteroscedasticity of preference in tenure choice. It turns out that the heteroscedasticity is significant in households' tenure choice behavior, implying that Korean housing policy emphasizing supply side should consider the demand side.

• Journal of the Korean housing association
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• v.25 no.1
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• pp.51-61
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• 2014

The purpose of this study was to explore housing characteristics of young single- or two-person households in the U.S. metropolitan urban areas and determinants of their housing cost burden. Total 764 single-person households, 744 two-person households and 424 households with three or more persons were selected from the 2011 American Housing Survey public-use microdata for the study based on specific sampling criteria. The major findings are as follows: (1) In comparisons with larger households, single- or two-person households were characterized to be headed by younger householders, to have less income, and to have a greater proportion of households living in central cities of metropolitan areas, renting housing units, living in smaller size units or multifamily structures; (3) housing cost of single- or two-person households were significantly less than a larger households while housing costs per unit square footage (SQFT) of single- or two-person households was significantly greater; (4) regardless of the household size, there are many household headed by young college graduates paying too much of their income for housing, and single-person households were found to have the greatest housing cost burden; and (5) a linear combination of low-income status, monthly housing costs per unit SQFT, annual household income, and unit SQFT per person was found to be most efficient to predict single- or two-person households with housing cost burden.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.4
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• pp.1637-1645
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• 2011

This study explores the plausible socio-economic variables that influence joint choice of tenure and dwelling type in Cheonan. For estimating these joint choice models, multinomial logit framework is employed. Following the practice of other studies, we chose the age of householder, education level of householder, occupation of householder, residence duration in Cheonan, experience of capital area residence, plan of capital area move and the monthly income of household as socio-economic variables, and size of house, access of subway area, residence area as house characteristics. According to the estimation result, we can derive som implications. For example, the higher monthly income of household, more member of student, bigger size of house, longer residence duration of Cheonan, the more they prefer owing house apartment to renting it. In addition, as householders are older, size of house is bigger, they prefer owing-non apartment to owing house-apartment.

• Korea journal of population studies
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• v.8 no.1
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• pp.65-86
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• 1985

Korean population is ecpected to reach about 50 million by year 2000. And per capita GNP might attain the $5,000 level. This is bound to have profound impact on housing. For one thing, population and income growth will accelerate new household formation thus increasing new housing needs. On the other, changes in the housing preference function in association with income growth and new way of life would mean increasing demand for better dwelling environment. In addition, by year 2000, there will be many more elderly households necessitating new approaches to housing. The question is whether or not Korea could cope with new housing perspectives. If Korean housing has made in the past some progress in housing quality, it has not been able to tackle the mounting housing shortage. This is attributable to the concentration of effective housing demand in the hands of upper income groups in association with skewed income distribution and sustained dwelling price hike. Korea needs some basic changes in housing policy. The public sector should produce much more small dwellings either for sales or renting. Second, mortgage loans should be expanded so as to increase the access to housing. Third, every thing must be done to cut down the dwelling price through tax cut, relaxation of some requlations, cyclical stabilization of dwelling construction and loan subsidies.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.1-9
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• 2022

The study aims to determine the factors and their influence on the income from using public agricultural land of households. Public agricultural land is agricultural land, including land for growing annual crops, perennial crops, and land for aquaculture, leased by commune-level People's Committees with a lease term of not more than 5 years. Secondary data were collected for the 2017-2021 period at state agencies. Primary data were collected from a survey of 150 households renting public agricultural land. The regression model assumed that there were 28 factors belonging to 7 groups. The test results show that 25 factors affect income, and 03 factors do not. The group of COVID-19 pandemic factors has the strongest impact, followed by the groups of agricultural product market factors, land factors, capital factors, production cost factors, labor factors, and climatic factors. The impact rate of COVID-19 pandemic factors is the largest (23.00%); The impact rate of climatic factors is the smallest (6.04%). Proposals to increase income include good implementation of disease prevention and control; increasing the land lease term; accurately forecasting the supply and demand of the agricultural market; raising the level of the household head; ensuring sufficient production capital, and adapting to the climate.